Data Platform Engineer - Databricks

Location: This position requires the candidate to work onsite in Seattle, WA, on Tuesdays and Wednesdays, with the rest of the week remote., * Implement PHI/PII scanning using native Databricks features or custom-built solutions.

• Design and implement data security controls, including data masking and data minimization.
• Work with modern table formats (Delta, Iceberg, Uniform) and ensure interoperability between Databricks and Snowflake.
• Build Databricks dashboards to audit data usage and access by sensitivity and data classification.
• Manage MCP servers and RBAC (role-based access control) across the platform.
• Connect AI tools and external systems to the Databricks Lakehouse.
• Support Databricks Genie and enable EDP (enterprise data platform) for self-service use.
• Develop Databricks applications.
• Optimize Azure and Databricks access, including performance tuning and caching strategies, to support agentic AI applications.

• Experience with PHI/PII scanning and data security implementation (masking, minimization).
• Skilled in table formats such as Delta, Iceberg, and Uniform, with experience in Databricks-Snowflake interoperability.
• Experience managing MCP servers and RBAC.
• Experience connecting AI and external tools to a Databricks Lakehouse environment.
• Experience building Databricks dashboards and applications.
• Experience optimizing Azure/Databricks performance and caching, ideally for agentic AI workloads., * Experience with Databricks Genie and enabling self-service data platforms.